Page 13 - REC :: MBA CURRICULUM AND SYLLABUS :: R2019

Subject Code Subject Name (Theory course) Category L T P C
BA19103 Statistical Methods cc 3 1 0 4

Objectives:
 To learn the applications of statistics in business decision making.
 To introduce the basic concepts of probability, one dimensional random variables.
 To learn the concepts of Testing of Hypothesis and Design of Experiments.

UNIT-I Introduction To Probability: Probability: Definition and simple problems - Conditional 12
probability - Independence of events - Baye’s theorem - Random variables - Probability
distributions: Binomial, Poisson, Uniform and Normal distributions.

UNIT-II Sampling Distribution And Estimation: Introduction to sampling distributions, sampling 12
distribution of mean and proportion -Application of Central limit theorem - Sampling techniques.
Estimation: Point and Interval estimates for population parameters of large sample and small
samples - Determining the sample size.

UNIT-III Testing Of Hypothesis: Hypothesis testing: one sample and two sample tests for means and 12
proportions of large samples (z-test), one sample and two sample tests for means of small samples
(t-test), F-test for two sample standard deviations. Chi-square tests for independence of attributes
and goodness of fit.

UNIT-IV Analysis Of Variance: One way and two way classifications - Completely randomized design – 12
Randomized block design –Latin square design.

UNIT-V Correlation And Regression: Correlation- Rank correlation – Regression : Estimation of 12
regression line – Method of Least squares – Standard error of estimate.

Total Contact Hours : 60

Course Outcomes: On completion of the course, students will be able to
 Apply the basic concepts of Random Variables and probability theory for the use in industrial problems.
 Apply the concept of sampling distribution and estimation theory in industrial production forecasting.
 Use the concepts of Testing of Hypothesis for industrial problems.
 Design experiments using suitable ANOVA techniques and draw conclusions.
 Apply the concept of correlation, regression and time series analysis in real life situation.

Reference Books(s) / Web links:
th
1 Richard I. Levin, David S. Rubin, Statistics for Management, Pearson Education, 7 Edition, 2011.
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2 Prem.S.Mann, Introductory Statistics, 7 Edition, Wiley India, 2016.
Gareth James, Daniela Witten, Trevor Hstie, Robert Tibshirani, An Introduction to Statistical Learning with
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Applications in R.Springer,2016.
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Aczel A.D. and Sounderpandian J., “Complete Business Statistics”, 6 edition, Tata McGraw – Hill Publishing
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Company Ltd., New Delhi, 2012.
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5 Ken Black, Applied Business Statistics, 7 Edition, Wiley India Edition, 2012.
Veerarajan T, ‘Probability, Statistics and Random Processes with Queuing Theory and Queuing Networks’,
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McGraw Hill, 2016.

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